 Hi everyone, I hope you can hear me now. I'm very happy to join you today to get there with my colleague, Josefine Hallert Larsson. We work at the Wikimedia Sferia, the Swedish chapter of the Wikimedia Foundation. And we would like to present a project that we have been working on this year to get there with a very prominent museum here in Sweden called 100,000 Photo Memories. How do I change the slide? That is a very good question. My list, perfect. First of all, some introduction. The Nordic Museum, those who attended Wikimedia in Stockholm are familiar with it because in this beautiful place we had our final party. But apart from being a great party place, they are also guardians of the Swedish cultural heritage. They work in the field of cultural history. And among other things, they have amazing archives of illustrations and photographs made by prominent Swedish photographers that document how our country, among other things, looked in the past. And they are now running a very, very big initiative to digitize hundreds of thousands of previously unpublished photos that had just been lying in their archives in the basement for many years. And they would like to share those photos with the rest of the world. And we are working together with them in order to, at the same time, as they're scanning in the photos, put some of them on Wikimedia Commons so that they can be enjoyed by the community. But another very big piece of the puzzle is that the photos that they are scanning, they often have very little information about them. Like they just have an envelope in a shelf that just says the name of the photographer and the year and something like Stockholm. But you don't know what street is in the photo, what person is depicted, what does it show. And that's why they want to work with the Wikimedia community to crowdsource and to improve the data of the photos. The project has its own... How do I change the slide? Oh, I have no idea who's doing this. The project has its own page on Wikimedia Commons where you can see some thematic packages that we have been uploading. There are some photos from different cities in Sweden. There are some photos documenting the industrial heritage of our country like old factories showing how people work in the past. Next slide, please. As I mentioned previously, there is very little information that the museum can provide. And that's why from the very beginning we have been thinking about involving the Wikimedia community to improve this information. But another very important step is that once people have improved the information on Wikimedia Commons, such as describing the address of the building in the photo or who is the person in the photo, later on that information will be actually reused by the museum. They would like to import the new information from Wikimedia Commons and put it into their own collection management system so that they benefit from it as well. And of course, this has resulted in a lot of discussions with the museum about how to best run a big project like this and how to work with crowdsourced material, because of course anyone can put anything on Wikipedia or on Wikimedia Commons. So, for example, how should the museum in their own database indicate that this is crowdsourced information? We haven't been able to confirm this, but it looks good and adds some value to the collection. Next slide, please. So, as you have guessed from the name of the project, they are working with 100,000 photos, which is a lot. And that is way more than we can and way more than we should put on Wikimedia Commons. Because not everything is equally interesting. That's why a big part of the project has been selecting the photos and thinking and discussing what will be most valuable to the Swedish Wikimedia community. For example, in this photo, this was taken in the Saab factory, which makes military airplanes, which is a very big industry in Sweden. And a lot of people are interested in how it has developed. And I guess in every country, in every Wikimedia community, there are military and airplane nerds who can work on improving and describing what exactly is in this photo. Another thing that is also interesting to Swedish Wikimedians are old photos from our cities that show how our buildings and streets looked like. And again, there are a lot of people who are experts on local history and who can pinpoint exactly what's in every photo. Next slide. Here is just a small selection of the photos we have worked on which show the variety of topics. We have people at work and factories. We have cars and airplanes. We even have some photos from other countries like in this example Copenhagen in Denmark. Next slide, please. So how do we work with the community? I would like Yusefine to chip in since she has been working with this a lot. I can't hear you. No? Yes, perfect. Great. So, hi. I, as Alicia said, a colleague at Wikimedia Sverige where I work as a project leader. And I run currently a project that is called Wikipedia for all of Sweden. And that is a project wanting to engage people all over Sweden to contribute to our platforms and to our organization. And in this 100,000 images or image memories, we have found a perfect combination of the two projects because we are engaging people. This is a way of working together, sharing the knowledge that they have that is valuable for the platforms and also creating visibility locally around Wikimedia Sverige. And we reach out to people and we get their knowledge and we tell them about the organization. And then we inspire them to become members and volunteers. And the focus groups of this project are young people, old people and other genders than male, so female, non-binary, et cetera. And one way of doing this joint work between the project is a totally new kind of event, the metadata editathon. This is the first time we've run something like this in Sweden and I don't know if it's done in another context ever. But this is an image from the pilot event. Next slide, please. Alicia mentioned Saab and Saab is based, has their largest factory in a city called Linköping where there is also the Swedish Air Force Museum. And we wanted to work together with them to identify what is actually on the Saab images. So we were working with the museum as well as two historical societies connected to Saab and the Air Force and having them share knowledge about what's on the images. So we gathered some former employees at Saab Linköping. I think we were 13 all in all. That told us what the images contain in a workshop. So they were sharing memories and details and giving life to the images. And this is a very new and exciting way of working for us. And the image that we see next to the text is one of the images that is taken in this factory in the 1940s. So the images reach from 1940s to 1970s. And this was of course before those people even worked there, but they still knew the people in the image and what they were looking at. And I will later talk a little bit about how we worked with the ISA tool doing this because that was the tool of the workshop. Alicia. Yes, when working with describing and improving data on Wikimedia Commons, I guess a lot of you have heard about or even started using SDC, that is structured data on Commons. It's a relatively new part of the Wikimedia infrastructure, which makes it possible to tag photos on Commons with Wikidata items that represent what's shown in the photo. And this connection between Wikimedia Commons and Wikidata makes it possible, for example, for the museum that will later want to extract this information, they will be able to do it in a much simpler way, much easier than if they had been only working with pretext descriptions or categories. Wikidata items can have labels in different languages, so they can extract the data in the language they want. They can even crawl Wikidata to find more information about the item. So, for example, if we tag a photo with a particular airplane model and that airplane model on Wikidata has the year when it was invented, then the museum can also get that data directly from Wikidata. And since we hadn't worked with structured data on Commons with beginners before, this was also a very interesting part of our work. How do we gather people in edited items who hadn't edited Wikimedia projects at all and start teaching them structured data on Commons? We used the ISA tool, as a tool to add depict statements and tell us, Yusefine, how it worked out. Next slide, please. Yes. The ISA tool was used by me mainly as a facilitator during this editathon. And it is not created to be this kind of tool. It's not optimal for the workshop method. It's created to run competitions where you identify what is on images. But this is still the best tool there is to do this kind of workshop work because you get the image on the screen and you very easily get the the fields where you fill out the data, at least I was talking about. But there are some high thresholds even for using this tool for new users. Having to learn both the ISA tool in itself and Wikidata. For example, when you want to put a label on something and the label does not exist in Wikidata yet, you have to learn how to create an item on Wikidata to be able to add that as a depict on ISA tool. So that creates some boundaries. And also you have to have a common understanding of how Wikimedia commons and the other platforms work. For example, what is valid information. But we were two experienced users that were listening and editing as the and in this in this case, the target group was of course old people that have previously been working. They were about 80 years old. So we were listening to them and editing through the ISA tool at the same time. Alicia, will you tell us a little bit about working together? Yes, next slide please. So what have we learned so far from this project? First of all, this is really a puzzle of many pieces. We are several people at Wikimedia Sphere who have been working on it. We have a software developer who corrects bugs that we found in ISA tool. We have Yusefine who works with education and our outreach and communication. I work with the museum to discuss with them the best format for importing data from Wikimedia commons to Wikidata. We talk a lot about engaging with the community, which photo sets would be most interesting and so on. But in general, something that's really, really exciting is that this is the first time for us that the GLAM organization actually reached out to us in the first stage of a digitization project. Because it can be an experience of many of you that the regular way is that the museum has a lot of photos on a hard drive or on their website and they would like to have them uploaded to Wikimedia commons. And then you have to work with the metadata that's there in whichever format it is. But here for the first time we are in from the very beginning and we can provide advice and we can discuss how things should be done. And this is something that's amazing because it means that for the museum we are an equal partner. They see the Wikimedia platforms as an obvious part of outreach and of working with the public. We are very happy about this and I must say we had been working with the Nordic Museum for years. We had done different sorts of projects with them. So this is the result of this hard work they know about us. They know about the Wikimedia platforms and it's completely obvious to them to use them. But of course, not everything has been great and amazing. There has been some problems. Next slide please. Yes, we have had some stumbling blocks. We have had goats picking on our pipes. And they concern the ISA tool as well as the images themselves. For example in the ISA tool there are no specific URLs to the campaign objects. So you can't link directly to a specific image for people to fill out the information. And when there are several similar images you can't add the same data to several of them. And you have to work simultaneously in several tools as I mentioned. But also concerning the images, how do you select out of 100,000 images what is relevant to Wikimedia commas? That is a hurdle. Also the lack of information about the photos because it's sometimes difficult even knowing who to ask what is in the images. And also the quality reviews and citations. Now we depend on people's memories and their recollections of what happens and are those better than nothing or not. So what's next to finish up? Next slide please. We will have another metadata edit-a-thon around SOB images but we will also do another one around agriculture images. For example this pig and the woman. And we still have thousands of images left to upload to Wikimedia commas. And just to finish off this presentation I would like to give a great example of how we have been working. Because we reached out to local media before the first edit-a-thon and they had an image article, an image special article with links. They had selected some of the SOB images. And a reader saw a person she knew. She recognized him and told him well you're on this image and they say something about an event. So this person on this image as we can see he showed up at the edit-a-thon and was ready to tell us everything he knew about what he was doing investigating this wing from an airplane in 1976. And with this me and Alicia would like to thank you very much for listening to us and you can reach out to us if you have any questions or the wonderings about this project. Thank you.